这是一个面向“教育智能体”的小模型集成项目，核心目标是：把一堆细粒度的教育小模型（比如主观题自动评分、关键词覆盖率打分、习题讲解等），用 FastAPI + MCP（Model Context Protocol） 封装成统一的服务，让大模型（包括 Cursor 内置模型）可以像调用工具一样调用它们。整个项目一方面提供了常规的 HTTP/OpenAPI 接口，方便本地或其它后端系统集成；另一方面又通过 MCP 适配层，把这些接口暴露为“工具”，让不同的大模型客户端（如 Cursor）可以动态发现、调用这些教育能力，从而组合出一个可以自动批改、分析、反馈的“教育智能代理”。

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